lungs-segmentation/setup.cfg at master · qchapp/lungs-segmentation · GitHub

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[metadata]
name = unet_lungs_segmentation
version = 1.0.9
description = 3D U-Net model for the segmentation of the lungs in mice CT scans.
long_description = file: README.md
long_description_content_type = text/markdown
url = https://github.com/qchapp/lungs-segmentation.git
project_urls =
    Source Code = https://github.com/qchapp/lungs-segmentation.git

author = Quentin Chappuis, Center for Imaging, Ecole Polytechnique Federale de Lausanne (EPFL)
author_email = quentin.chappuis@epfl.ch
license = BSD-3-Clause
license_files = LICENSE

classifiers =
    Development Status :: 2 - Pre-Alpha
    Framework :: napari
    Intended Audience :: Developers
    License :: OSI Approved :: BSD License
    Operating System :: OS Independent
    Programming Language :: Python
    Programming Language :: Python :: 3
    Programming Language :: Python :: 3.8
    Programming Language :: Python :: 3.9
    Programming Language :: Python :: 3.10
    Topic :: Scientific/Engineering :: Image Processing

[options]
packages = find:
install_requires =
    magicgui
    qtpy
    napari[all]>=0.4.16
    napari-label-focus
    tifffile
    scikit-image
    matplotlib
    csbdeep
    python-dotenv
    huggingface_hub

python_requires = >=3.8
include_package_data = True

package_dir =
    = src

[options.packages.find]
where = src

[options.entry_points]
napari.manifest =
    unet-lungs-segmentation = unet_lungs_segmentation:napari.yaml

console_scripts =
    uls_predict_image = unet_lungs_segmentation.cli:cli_predict_image
    uls_predict_folder = unet_lungs_segmentation.cli:cli_predict_folder

[options.extras_require]
testing =
    tox
    pytest
    pytest-cov
    pytest-qt
    napari
    pyqt5

[options.package_data]
* = *.yaml